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        <h3 id="使用Guava-Cache和RateLimiter来实现限流"><a href="#使用Guava-Cache和RateLimiter来实现限流" class="headerlink" title="使用Guava Cache和RateLimiter来实现限流"></a>使用Guava Cache和RateLimiter来实现限流</h3><a id="more"></a>
<h1 id="限流"><a href="#限流" class="headerlink" title="限流"></a>限流</h1><ol>
<li>接入层Nginx限流</li>
<li>分布式限流</li>
<li>应用层限流</li>
</ol>
<h1 id="一、接入层限流"><a href="#一、接入层限流" class="headerlink" title="一、接入层限流"></a>一、接入层限流</h1><p>可以采用Nginx + Lua来实现</p>
<h1 id="二、分布式限流"><a href="#二、分布式限流" class="headerlink" title="二、分布式限流"></a>二、分布式限流</h1><p>可以采用Redis + Lua来实现</p>
<h1 id="三、应用层限流"><a href="#三、应用层限流" class="headerlink" title="三、应用层限流"></a>三、应用层限流</h1><ol>
<li>采用计数器</li>
<li>采用令牌桶算法</li>
<li>采用漏桶算法</li>
</ol>
<h3 id="令牌桶算法"><a href="#令牌桶算法" class="headerlink" title="令牌桶算法"></a>令牌桶算法</h3><p>令牌桶是一个固定容量的装有令牌的桶，以固定的速率往桶中放令牌，当桶满则丢弃。每次请求都需要获取令牌，令牌数量满足则执行，不满足拒绝请求。</p>
<h3 id="漏桶算法"><a href="#漏桶算法" class="headerlink" title="漏桶算法"></a>漏桶算法</h3><p>漏桶是一个固定容量装有水的桶，随机的流入速率，固定的流出速率。当桶中的水溢出，则拒绝请求，由于固定的流出速率，可以用来平滑流量。</p>
<h1 id="四、基于Guava实现限流"><a href="#四、基于Guava实现限流" class="headerlink" title="四、基于Guava实现限流"></a>四、基于Guava实现限流</h1><ol>
<li><p>获取令牌，有就执行，没有就阻塞，返回等待获取令牌的时间</p>
<figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br><span class="line">15</span><br><span class="line">16</span><br></pre></td><td class="code"><pre><span class="line">public class GuavaRateLimitTest1 &#123;</span><br><span class="line"></span><br><span class="line">    public static void main(String[] args) throws InterruptedException &#123;</span><br><span class="line">        /**</span><br><span class="line">         * 1s只允许处理10个请求，也就是每100ms创建一个令牌</span><br><span class="line">         */</span><br><span class="line">        RateLimiter rateLimiter = RateLimiter.create(10);</span><br><span class="line"></span><br><span class="line">        /**</span><br><span class="line">         * acquire()返回获取令牌的时间</span><br><span class="line">         */</span><br><span class="line">        for (int i = 0; i &lt; 100; i++) &#123;</span><br><span class="line">            System.out.println(rateLimiter.acquire());</span><br><span class="line">        &#125;</span><br><span class="line">    &#125;</span><br><span class="line">&#125;</span><br></pre></td></tr></table></figure>
</li>
<li><p>能否在给定的时间内获取令牌，返回是否获取成功标识</p>
<figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br><span class="line">15</span><br><span class="line">16</span><br><span class="line">17</span><br><span class="line">18</span><br><span class="line">19</span><br></pre></td><td class="code"><pre><span class="line">public class GuavaRateLimitTest2 &#123;</span><br><span class="line"></span><br><span class="line"></span><br><span class="line">    public static void main(String[] args) &#123;</span><br><span class="line">        RateLimiter rateLimiter = RateLimiter.create(1);</span><br><span class="line"></span><br><span class="line">        /**</span><br><span class="line">         * tryAcquire()根据给定的时间尝试获取令牌</span><br><span class="line">         * 此处的时间是指100ms内能否获取到令牌，并不是等待100ms</span><br><span class="line">         * 根据如上配置，每1s才产生一个令牌，所以tryAcquire()返回false</span><br><span class="line">         */</span><br><span class="line">        while (true) &#123;</span><br><span class="line">            Long time1 = Clock.systemDefaultZone().millis();</span><br><span class="line">            boolean acquireFlag = rateLimiter.tryAcquire(100, TimeUnit.MILLISECONDS);</span><br><span class="line">            Long time2 = Clock.systemDefaultZone().millis();</span><br><span class="line">            System.out.println(&quot;【acquireFlag】&quot; + acquireFlag +  &quot;【时间差】:&quot; + (time2 - time1));</span><br><span class="line">        &#125;</span><br><span class="line">    &#125;</span><br><span class="line">&#125;</span><br></pre></td></tr></table></figure>
</li>
<li><p>基于Guava 缓存实现限流</p>
<figure class="highlight plain"><table><tr><td class="gutter"><pre><span class="line">1</span><br><span class="line">2</span><br><span class="line">3</span><br><span class="line">4</span><br><span class="line">5</span><br><span class="line">6</span><br><span class="line">7</span><br><span class="line">8</span><br><span class="line">9</span><br><span class="line">10</span><br><span class="line">11</span><br><span class="line">12</span><br><span class="line">13</span><br><span class="line">14</span><br><span class="line">15</span><br><span class="line">16</span><br><span class="line">17</span><br><span class="line">18</span><br><span class="line">19</span><br><span class="line">20</span><br><span class="line">21</span><br><span class="line">22</span><br><span class="line">23</span><br><span class="line">24</span><br><span class="line">25</span><br><span class="line">26</span><br><span class="line">27</span><br><span class="line">28</span><br><span class="line">29</span><br></pre></td><td class="code"><pre><span class="line">public class GuavaCacheRateLimitTest1 &#123;</span><br><span class="line"></span><br><span class="line">    public static final Integer TIME_WINDOW = 10;</span><br><span class="line"></span><br><span class="line">    public static final Integer TIME_WINDOW_MAX_REQUEST_COUNT = 10;</span><br><span class="line"></span><br><span class="line">    public static final LongAdder LONG_ADDER = new LongAdder();</span><br><span class="line"></span><br><span class="line">    public static void main(String[] args) throws ExecutionException, InterruptedException &#123;</span><br><span class="line">        LoadingCache&lt;String, AtomicInteger&gt; rateLimitCache = CacheBuilder.newBuilder()</span><br><span class="line">                .expireAfterWrite(TIME_WINDOW, TimeUnit.SECONDS)</span><br><span class="line">                .build(new CacheLoader&lt;String, AtomicInteger&gt;() &#123;</span><br><span class="line">                    @Override</span><br><span class="line">                    public AtomicInteger load(String key) throws Exception &#123;</span><br><span class="line">                        return new AtomicInteger(0);</span><br><span class="line">                    &#125;</span><br><span class="line">                &#125;);</span><br><span class="line"></span><br><span class="line">        while (true) &#123;</span><br><span class="line">            AtomicInteger rateLimit = rateLimitCache.get(&quot;rate-limit&quot;);</span><br><span class="line">            if (rateLimit.incrementAndGet() &gt; TIME_WINDOW_MAX_REQUEST_COUNT) &#123;</span><br><span class="line">                System.out.println(&quot;【开始执行限流操作。。。。。。】&quot; + rateLimit.get());</span><br><span class="line">                break;</span><br><span class="line">            &#125;</span><br><span class="line">            System.out.println(&quot;【执行请求】&quot;);</span><br><span class="line">        &#125;</span><br><span class="line"></span><br><span class="line">    &#125;</span><br><span class="line">&#125;</span><br></pre></td></tr></table></figure>
</li>
</ol>
<h3 id="参考文献"><a href="#参考文献" class="headerlink" title="参考文献"></a>参考文献</h3><ul>
<li><a href="https://www.jianshu.com/p/2596e559db5c" target="_blank" rel="noopener">聊聊高并发系统之限流特技</a></li>
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              <div class="post-toc-content"><ol class="nav"><li class="nav-item nav-level-3"><a class="nav-link" href="#使用Guava-Cache和RateLimiter来实现限流"><span class="nav-number">1.</span> <span class="nav-text">使用Guava Cache和RateLimiter来实现限流</span></a></li></ol></li></ol></li><li class="nav-item nav-level-1"><a class="nav-link" href="#限流"><span class="nav-number"></span> <span class="nav-text">限流</span></a></li><li class="nav-item nav-level-1"><a class="nav-link" href="#一、接入层限流"><span class="nav-number"></span> <span class="nav-text">一、接入层限流</span></a></li><li class="nav-item nav-level-1"><a class="nav-link" href="#二、分布式限流"><span class="nav-number"></span> <span class="nav-text">二、分布式限流</span></a></li><li class="nav-item nav-level-1"><a class="nav-link" href="#三、应用层限流"><span class="nav-number"></span> <span class="nav-text">三、应用层限流</span></a><ol class="nav-child"><li class="nav-item nav-level-3"><a class="nav-link" href="#令牌桶算法"><span class="nav-number">1.</span> <span class="nav-text">令牌桶算法</span></a></li><li class="nav-item nav-level-3"><a class="nav-link" href="#漏桶算法"><span class="nav-number">2.</span> <span class="nav-text">漏桶算法</span></a></li></ol></li></ol></li><li class="nav-item nav-level-1"><a class="nav-link" href="#四、基于Guava实现限流"><span class="nav-number"></span> <span class="nav-text">四、基于Guava实现限流</span></a><ol class="nav-child"><li class="nav-item nav-level-3"><a class="nav-link" href="#参考文献"><span class="nav-number">1.</span> <span class="nav-text">参考文献</span></a></li></ol></div>
            

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